GeForce RTX 4080 Laptop vs Apple M1 Max GPU (32-core)

We performed a head-to-head comparison of the GeForce RTX 4080 Mobile 12 GB with 58 pipelines and 7424 shaders against the 1 year and 4 months older Apple M1 Max GPU (32-core) that utilizes 512 pipelines and 4096 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.

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TGP / Version
-

Review

General comparison of performance in games, applications, power efficiency, and other metrics
Gaming
Performance in DirectX, OpenCL, and Vulkan games
Workstation
Perf. in 3D modeling, video editing and rendering apps
AI/ML
Capabilities for machine learning and AI-related tasks
Energy Efficiency
Power consumption efficiency in different scenarios
NanoReview Final Score
Overall video card score

Key differences

Key distinctions and advantages of M1 Max GPU (32-core) over RTX 4080 Mobile
Reasons to consider the GeForce RTX 4080 Laptop
  • Performs significantly better (up to 2.6x) in 3DMark Steel Nomad Lite
  • 3.2x higher maximum theoretical performance (33.9 vs 10.6 TFLOPS)
  • Includes 12 GB of dedicated GDDR6 memory
  • Ray-tracing support with 58 dedicated RT cores
  • Supports Nvidia DLSS 3 technology
  • Achieves 2.4x more points in the GeekBench 6 Compute test (170K vs 71K)
  • Has 81% more shading units (7424 vs 4096)

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
176
118
111
80
-
The Witcher 3
196
168
117
62
-
Counter-Strike 2
276
204
146
83
-
Far Cry 6
149
138
120
73
-
Hogwarts Legacy
122
103
78
42
-
CoD: Modern Warfare III
154
148
114
75
-
Ghost of Tsushima
110
90
75
45
-
Cyberpunk 2077
138
122
83
38
-
Shadow of the Tomb Raider
219
204
152
87
-
Average FPS by Resolution
1080p High 171 -
1080p Ultra 144 -
1440p Ultra 111 -
4K Ultra 65 -
Margin of Error Low Medium

Benchmarks

Graphics cards’ performance in recent benchmarking apps

3D Mark

Multiplatform graphics benchmark suite that directly correlates with performance in modern games
Steel Nomad Lite Score
Time Spy 18826 -
Solar Bay 85393 22586
Port Royal 11838 -
Fire Strike 41181 -
Wild Life Extreme 36953 19880
Night Raid 147086 -
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 328.9 img/sec 120.7 img/sec
Face Detection 192.3 img/sec 78.9 img/sec
Horizon Detection 6.51 Gpixels/sec 3.18 Gpixels/sec
Edge Detection 9.11 Gpixels/sec 6.15 Gpixels/sec
Gaussian Blur 10.1 Gpixels/sec 3.44 Gpixels/sec
Feature Matching 1.56 Gpixels/sec 0.62 Gpixels/sec
Stereo Matching 660.7 Gpixels/sec 229.8 Gpixels/sec
Particle Physics 20765.5 FPS 8822.9 FPS
API OpenCL OpenCL
Sources: Geekbench [3], [4]

Cinebench 2024 GPU

Hardware benchmark using Maxon's Cinema 4D rendering engine
Cinebench 2024 GPU

Passmark Graphics

Videocard test that focuses on compute shaders, multi-texturing, tessellation, and other features
G3D Mark Score
G2D Mark 928 -
DirectX 11 241 FPS -
DirectX 12 96 FPS -
GPU Compute 10995 Ops/s -
Sources: PassMark [5]4043 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
5454.66
Sources: Blender [9], [10]1010 & 666 samples

Artificial Intelligence Tests

Performance in machine learning and artificial intelligence tasks

GeekBench 6 ML

Tests throughput of AI operations in single, half, and quantized precision
GB6 ML Single Precision
GB6 ML Half Precision
GB6 ML Quantized
Image Classification (SP) 10385 5466
Image Segmentation (HP) 25896 12415
Image Super Resolution (Q) 27816 15930
Face Detection (HP) 51976 23179
Pose Estimation (Q) 142459 58520
Text Classification (SP) 3405 2299
Machine Translation (HP) 4860 1713
Object Detection (SP) 13308 5388
Depth Estimation (Q) 49203 26458
Style Transfer (SP) 262792 98278
Framework ONNX Core ML
Backend DirectML GPU
Sources: Geekbench [9], [10]
Results were compared using different ML frameworks

Specifications

Technical specifications of GeForce RTX 4080 Laptop and Apple M1 Max GPU (32-core)

General

Vendor Nvidia Apple
Build Discrete Integrated
Released February 8, 2023 October 18, 2021
Case Laptop Laptop
Purpose Gaming Professional
Segment High-end High-end
Architecture Ada Lovelace Apple M GPU
GPU Codename AD104 (GN21-X9) -
Rival Equivalent - Radeon RX 7900M - GeForce RTX 3060 Laptop
Successor - GeForce RTX 5080 Laptop - Apple M5 Max GPU (40-core)
Recommended CPU - Intel Core Ultra 9 185H or above - Apple M1 Max or above
Used in CPUs - - Apple M1 Max
Laptop GPU ranking (10th and 53rd place)

Graphics Processing Unit

Base Clock 1290-1860 MHz (configurable) 450 MHz
Boost Clock 1665-2280 MHz (configurable) 1296 MHz
Shading Units 7424 4096
Texture Mapping Units (TMUs) 232 256
Render Output Units (ROPs) 80 128
Compute Units (Pipelines) 58 512
Tensor Cores 232 -
Ray-tracing Cores 58 No
L1 Cache 128KB per cluster -
L2 Cache 48MB shared -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 133-182 GPixel/s 166 GPixel/s
Texture Fill Rate 386-529 GTexel/s 332 GTexel/s
FLOPS (FP32)
24.7-33.9 TFLOPS
10.6 TFLOPS

Physical

Interface PCIe 4.0 x16 Custom
TGP 60-175 W (configurable) -
Manufacturing TSMC TSMC
Fabrication Process 5 nm 5 nm
Die Size 295 mm² -
Transistor Count 35.8 billion 46.4 billion
Transistor Density 121.36 MTr/mm² -
Max. Temperature - 94°C

Memory

Memory Type GDDR6 System Shared
Memory Size 12 GB -
Memory Clock 2250 MHz 6400 MHz
Effective Memory Speed 18000 Mbps 12800 Mbps
Bus 192-bit 512-bit
ECC No No
Memory Bandwidth
432 GB/s

API

DirectX 12 -
Vulkan 1.3 -
OpenGL 4.6 -
OpenCL 3.0 -
CUDA 8.9 -
Ray Tracing Yes No
DLSS DLSS 3 No
DisplayPort 1.4a -

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2 (66.7%)
1 (33.3%)
Total votes: 3

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